Material Science in Additive Manufacturing: Measuring Thermal Diffusivity using LFA

Today, Dr. Natalie Rudolph will explain how the thermal diffusivity of a powder bed fusion part can be measured using Laser Flash Analysis (LFA) and how it can be computed in thermal conductivity.

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DIN SPEC 91446: A Road to Sustainability in the Plastics Industry

Germany’s long-term goal is to become largely greenhouse gas neutral by 2050. In doing so, the German government is aligning itself with the Paris Agreement’s goal of achieving greenhouse gas neutrality worldwide in the second half of this century. Plastics recycling and materials research play a key role in this.

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How Fillers Increase Isotropic or Anisotropic Behavior of SLS Parts through Their Alignment

In general, the addition of fillers leads to an increase in mechanical performance. While a critical length of the fillers is needed to have an effect on the strength of components, the stiffness is already increased with fillers with small aspect ratios. To understand how the stiffness or modulus change as a function of the filler geometry and filler content, Dynamic Mechanical Analysis (DMA) can be used. Learn more in our article!

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Material Science in Additive Manufacturing: Warpage Prediction of PBF Parts Using CTE

Residual stress can lead to warpage of a 3D-printed part. Both Dynamic Mechanical and Thermomechanical Analysis are capable to estimate warpage. In this video, Dr. Natalie Rudolph explains, how the coefficient of thermal expansion (CTE), measured with Thermomechanical Analysis, can be used to predict and calculate warpage.

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NETZSCH Online Academy (NOA) – Web-Based Training Courses Provided by NETZSCH Experts

The new e-learning platform, NOA (NETZSCH Online Academy) offers you to advance your Knowledge in Thermal Analysis topics, without having to leave your desk. Take advantage of flexible online learning, fully adapted to your training needs.

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Material Science in Additive Manufacturing: Estimating Residual Stresses in PBF Parts Using Dynamic Mechanical Analysis

In our last episodes, we focused mainly on thermal material behavior measured with Differential Scanning Calorimetry (DSC). Today, Dr. Nathalie Rudolph will talk about how residual stresses can be estimated using Dynamic Mechanical Analysis (DMA).

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One Click AutoEvaluation for Dilatometer Signals (dL) Improved

AutoEvaluation is an intelligent software algorithm and part of the NETZSCH Proteus® software, which automatically and autonomously evaluates thermo-analytical measurement curves. It has already been introduced and successfully applied for Differential Scanning Calorimetry and Thermogravimetric Analysis and is also available for dL signals as generated by dilatometers (DIL) and thermomechanical analyzers (TMA). As an improvement, the mean CTE (Coefficient of Thermal Expansion) values are evaluated additionally before and after the glass transition.

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Solving Polymer Processing Problems Using a Kinexus Rotational Rheometer

NETZSCH_Rheology_Polymer Processing

Thermoplastic polymer melts are widely used in many modern industrial processes to manufacture a multitude of objects. Learn which properties measured with a Kinexus rotational rheometer help solve real-life polymer processing problems.

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Material Science in Additive Manufacturing: Specific Heat Capacity of PA12 Powder

In our previous episode, Dr. Natalie Rudolph informed about the isothermal measurements and their importance for process simulation. Today, we talk about measuring the specific heat capacity of Powder Bed Fusion Powder and what it is needed for.

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Thermoplastic Automated Fiber Placement (TAFP): Determination of the Degree of Crystallinity based on Position within the Process Chain

Thermoplastic Automated Fiber Placement

The use of continuous fiber-reinforced plastics with thermoplastic matrix systems in the aviation industry requires the development of suitable manufacturing technologies for this material combination. One promising process in this context is Automated Fiber Placement (AFP). Learn more about the process chains for the production of structural components and why the degree of crystallinity is decisive.

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